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Statistics Internship Jobs in Toronto, ON (NOW HIRING)

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Statistics Internship information

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$7

$25

$68

How much do statistics internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for statistics internship in Toronto, ON is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $27.53 per hour, depending on experience, location, and employer.

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.

What are some typical projects or tasks that a statistics intern works on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

What are the key skills and qualifications needed to thrive as a statistics intern, and why are they important?

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are the most commonly searched types of Statistics jobs in Toronto, ON?

The most popular types of Statistics jobs in Toronto, ON are:

What are popular job titles related to Statistics Internship jobs in Toronto, ON?

For Statistics Internship jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Statistics Internship jobs in Toronto, ON look for?

The top searched job categories for Statistics Internship jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Statistics Internship jobs?

Cities near Toronto, ON with the most Statistics Internship job openings:

Statistics Internship jobs near you
Infographic showing various Statistics Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 8% Internship, 62% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $53,577 per year, or $25.8 per hour.

Data Analyst Intern (Winter/January 2027, 8+ Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 3 days ago

New

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Analyst Intern your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. On a typical day, you will work closely with your direct supervisor, other interns in the same department, as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and others.

The opportunity:
  • 8+ month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Collaborate globally with colleagues from the Business Transformation team and other functions of the business to drive results.
  • Build and review statistical, predictive and machine learning models to drive sourcing accuracy.
  • Ensure data quality throughout all stages including data sourcing/collection, generation, normalization, and transformation.
  • Use SQL and Python to interact with Geotab's big data infrastructure.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
  • Build compelling stories from data and present them to different types of technical and non-technical stakeholders.
  • Make recommendations for new metrics, techniques, and strategies to improve Geotab's product suite.
  • Promote data-driven decision-making across the team, using tools such as SQL, and Google Sheets.
  • Provide leaders with insights and visualizations in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What you'll bring to the role:
  • Degree in Computer Science, Engineering, Mathematics, or a related field of study in progress.
  • Some experience as a Data Analyst or pursuing a career path in Data Analytics/Data Science.
  • Technical experience using SQL, Python or Google BigQuery is an asset.
  • Some knowledge of data mining/data warehousing, data modeling, statistical analysis, database management, reporting, and data analysis.
  • Experience with developing machine learning models and in feature engineering is an asset.
  • Some knowledge of data visualization tools (e.g. Superset, Tableau).
  • Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
  • Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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